In this paper, a novel approach called "Weighted Feature Fusion" is proposed as a generic solution instead of applying problem-specific descriptors alone. Experiments were performed on two basic data sets of the Inria in order to improve the precision of retrieval results. It was found that in...
In this paper, we derive an upper bound for recognition error arising from the proposed weighted feature fusion to justify theoretically its effectiveness for recognition from videos. In addition, in order to compute the optimal weights of face features to be fused, we develop a novel weight ...
It is based on Parallel Feature Enhancement (PFE) and Adaptive Weighted Feature Fusion (AWFF). In the coding stage, the PFE module performs posterior enhancement of multi-scale features by Detail Sharpening Attention (DSA) and High-level Dilation Fusion (HDF) methods. The DSA guides the ...
Object tracking based on online multiple instance learning with feature weighted fusionObject tracking based on online multiple instance learning with feature weighted fusion为了能更加准确鲁棒地跟踪目标,提出了特征加权融合的在线多示例学习跟踪算法(WfMIl).WfMIl在多示例学习框架下分别训练两种特征(HOg和HAAr)分...
Content-based image retrieval has broad application prospects,but search efficiency is not high.Based on the advantages of multi-feature fusion and interest points,proposed an Image retrieval algorithm.using Harris algorithm extract interest points,determine Interest Region;then using color histogram,co-oc...
Multiple Feature Fusion via Weighted Entropy for Visual Tracking ICCV 2015 本文主要考虑的是一个多特征融合的问题.如何有效的进行加权融合,是一个需要解决的问题.本文提出一种新的 data-adaptive visual tracking approach 通过 weighted entropy 进行多特征融合.并非像许多方法所做的简单的链接在一起的方法,本文采用...
Automatic 3D facial expression recognition using geometric and textured feature fusion 3D facial expression recognition has gained more and more interests from affective computing society due to issues such as pose variations and illumination... A Jan,H Meng - Automatic Face & Gesture Recognition, IEEE...
Feature weighted fusionDeep learningAWAE U-NetThe increasing frequency of forest fires, particularly in tropical deciduous forests, is causing severe damage to ecosystems. Currently, most available fire data is limited to active fire-point locations, and there is a lack of geospatial information of ...
Liu D, Lu S, Zhang L, Liu Y (2023) Anomaly detection in chest X-rays based on dual-attention mechanism and multi-scale feature fusion. Symmetry 15(3):668 Article Google Scholar Dataset. [Online]. https://www.kaggle.com/competitions/vinbigdata-chest-xray-abnormalities-detection/data. Acc...
This paper proposes a band-subset-based clustering and fusion technique to improve the classification performance in hyperspectral imagery. The proposed me... YQ Zhao,L Zhang,SG Kong - 《IEEE Transactions on Geoscience & Remote Sensing》 被引量: 106发表: 2011年 On The Equivalence Between Fuzzy ...